Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification

Dan Li; Qiang Wang; Fanqiang Kong

doi:10.1016/j.neucom.2020.03.022

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Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification

Dan Li Qiang Wang Fanqiang Kong

Year: 2020 Journal: Neurocomputing Vol: 400 Pages: 97-112 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.03.022

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Keywords:

Pattern recognition (psychology) Artificial intelligence Hyperspectral imaging Kernel (algebra) Multiple kernel learning Pixel Feature (linguistics) Computer science Kernel method Mathematics Feature vector Sparse approximation Feature learning Support vector machine

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Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification

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Citation History

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